3 papers
eess.IV2019
LNDb: A Lung Nodule Database on Computed Tomography
João Pedrosa, Guilherme Aresta, Carlos Ferreira +8
Lung cancer is the deadliest type of cancer worldwide and late detection is the major factor for the low survival rate of patients. Low dose computed tomography has been suggested…
eess.IV2019
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance
Guilherme Aresta, Carlos Ferreira, João Pedrosa +8
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mortality rates associated with the pathology. However, search lung nodules is a h…
cs.CV2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
Guilherme Aresta, Colin Jacobs, Teresa Araújo +4
We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images. iW-Net is composed of two blocks…